Analyzing parameter influence on time-series segmentation and labeling

Abstract

Reconstructing processes from measurements of multiple sensors over time is an important task in many application domains. For the reconstruction, these multivariate time-series can be automatically processed. However, the outcomes of automated algorithms often vary in quality and show strong parameter dependencies, making manual inspections and adjustments… (More)
DOI: 10.1109/VAST.2014.7042524

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Cite this paper

@article{Rohlig2014AnalyzingPI, title={Analyzing parameter influence on time-series segmentation and labeling}, author={Martin Rohlig and Martin Luboschik and Heidrun Schumann and Markus B{\"o}gl and Bilal Alsallakh and Silvia Miksch}, journal={2014 IEEE Conference on Visual Analytics Science and Technology (VAST)}, year={2014}, pages={269-270} }